QUANTITATIVE IDENTIFICATION OF ANTHROPOGENIC HEAVY METAL SOURCES IN FARMLAND SOIL BASED ON ENRICHMENT FACTOR AND MLR-APCS MODEL

LI Yan-xue; ZHANG Meng-zhu; SHU Sha-sha; ZOU Jun-han; JIAO Wei; ZHOU Jun-yu

doi:10.13205/j.hjgc.202209023

Volume 40 Issue 9

Nov. 2022

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LI Yan-xue, ZHANG Meng-zhu, SHU Sha-sha, ZOU Jun-han, JIAO Wei, ZHOU Jun-yu. QUANTITATIVE IDENTIFICATION OF ANTHROPOGENIC HEAVY METAL SOURCES IN FARMLAND SOIL BASED ON ENRICHMENT FACTOR AND MLR-APCS MODEL[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 173-177,232. doi: 10.13205/j.hjgc.202209023

Citation:

LI Yan-xue, ZHANG Meng-zhu, SHU Sha-sha, ZOU Jun-han, JIAO Wei, ZHOU Jun-yu. QUANTITATIVE IDENTIFICATION OF ANTHROPOGENIC HEAVY METAL SOURCES IN FARMLAND SOIL BASED ON ENRICHMENT FACTOR AND MLR-APCS MODEL[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 173-177,232. doi: 10.13205/j.hjgc.202209023

Citation:

LI Yan-xue, ZHANG Meng-zhu, SHU Sha-sha, ZOU Jun-han, JIAO Wei, ZHOU Jun-yu. QUANTITATIVE IDENTIFICATION OF ANTHROPOGENIC HEAVY METAL SOURCES IN FARMLAND SOIL BASED ON ENRICHMENT FACTOR AND MLR-APCS MODEL[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 173-177,232. doi: 10.13205/j.hjgc.202209023

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QUANTITATIVE IDENTIFICATION OF ANTHROPOGENIC HEAVY METAL SOURCES IN FARMLAND SOIL BASED ON ENRICHMENT FACTOR AND MLR-APCS MODEL

doi: 10.13205/j.hjgc.202209023

1. Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China;
2. Hunan Soil and Fertilizer Institute, Changsha 410125, China

Received Date: 2021-11-19
Available Online: 2022-11-09

Abstract

Abstract

An accurate and quantitative identification of anthropogenic heavy metal sources in farmland soil is vital for the subsequent implementation of more precise prevention and control. In this study, soil samples were collected from a typical agricultural area, and the anthropogenic sources of heavy metals in the surface soils were quantitatively identified by using the enrichment factor(EF) and multiple linear regression of absolute principal component scores(MLR-APCS) model.Resultsshowed that heavy metals like Pb, Cu, Zn, Cr and Ni in the surface soil have been affected by anthropogenic sources to different extents. The average increases rates in Pb, Cu, Zn, Cr and Ni were 112.37%, 71.21%, 59.38%, 69.67% and 64.54% respectively, when comparing their total contents in the surface soils with the contents in the local background soils. The EF values of heavy metals decreased with the order of Pb, Cu, Cr, Ni and Zn. Among them, Pb reached a medium enrichment level, and its anthropogenic content was more than 50% of the total content. Based on the anthropogenic heavy metal contents, atmospheric deposition and livestock manure were identified as the two main anthropogenic heavy metal sources. The MLR-APCS simulation results showed that atmospheric deposition could contribute on average 42.41%, 37.58% and 37.26% of total Pb, Cr and Ni contents, respectively, while livestock manure contributed 41.67% of total Cu and 39.39% of total Zn contents. In general, this study provided a reliable method for quantitative identification of anthropogenic heavy metal sources in farmland soil, which can be applied in other similar areas.
- heavy metals,
- anthropogenic sources,
- enrichment factor,
- MLR-APCS model,
- farmland soil

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References(34)

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